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Articles 1 - 7 of 7
Full-Text Articles in Engineering
Smart Airports: Artificial Intelligence–Enabled Internet Of Things Networks Using Blockchain Technology, Edwin Ongola
Smart Airports: Artificial Intelligence–Enabled Internet Of Things Networks Using Blockchain Technology, Edwin Ongola
Journal of Aviation Technology and Engineering
This article provides a perspective on how an internet of heterogeneous self-service airport terminal systems can be used for data collection, which is stored on a private or consortium blockchain depending on the ownership or operations of an airport or both. Such a setup would help to increase efficiency, reduce costs, and improve traveler experience at airport terminals. Moreover, it would allow airports to gather data directly from passengers as opposed to waiting to receive the same data from airlines. Subsequently, this data, now on a blockchain system, becomes a data source for other applications such as machine learning. In …
Computational Fluid Dynamics Visualization For Unmanned Aerial Systems In Bridge Inspections, Kristoffer B. Borgen, John Mott
Computational Fluid Dynamics Visualization For Unmanned Aerial Systems In Bridge Inspections, Kristoffer B. Borgen, John Mott
Journal of Aviation Technology and Engineering
Bridge inspections are an expensive and time-consuming process, varying significantly with a bridge’s style, height, width, and length. Inspections create interruptions that interfere with bridge use, as the examination requires partial or total closure, causing traffic delays. Unmanned aerial system (UAS) use has increased significantly over the past decade, including assistance and coordination during bridge inspections. However, the impact on a UAS from high winds and turbulent airflows induced by a bridge’s structure can decrease flight safety during inspections. Visualization of these hazards is difficult for UAS operators; therefore, a process to estimate the velocity and locations of these hazardous …
Energy Safety Management: A Training Model To Improve Flight Safety, Juan R. Merkt, Matthijs H. J. Amelink, David G. Sizoo
Energy Safety Management: A Training Model To Improve Flight Safety, Juan R. Merkt, Matthijs H. J. Amelink, David G. Sizoo
Journal of Aviation Technology and Engineering
Failing to properly manage an airplane’s energy state can be unforgiving. Mismanagement of mechanical energy (altitude and/or airspeed) is a contributing factor to three common types of fatal accidents in aviation: loss of control in flight, approach and landing accidents, and controlled flight into terrain. Recognizing the importance of energy management, the Federal Aviation Administration has incorporated new elements into the Airman Certification Standards, emphasizing knowledge of energy management concepts and the consequences of mishandling an airplane’s energy state. Unfortunately, no adequate guidance has been available in terms of defining key energy management concepts or suggesting how these should be …
Dynamics Of An Airplane Wheel At Touchdown, Pirooz Mohazzabi, Sophia Gentile, Cristian Marquez
Dynamics Of An Airplane Wheel At Touchdown, Pirooz Mohazzabi, Sophia Gentile, Cristian Marquez
Journal of Aviation Technology and Engineering
The dynamics of tire skidding and wear of a commercial airplane during touchdown is discussed, and a simple analytical model is presented. It is suggested that prespinning of the wheels prior to touchdown is not only possible but also practical to prevent tire wear and damage to the runway and the ensuing environmental issues.
Deficiencies In Safe Practices By Pilots Operating General Aviation Aircraft In Weather Conducive For Icing, Douglas Boyd Phd, Thomas Guinn Phd
Deficiencies In Safe Practices By Pilots Operating General Aviation Aircraft In Weather Conducive For Icing, Douglas Boyd Phd, Thomas Guinn Phd
Journal of Aviation Technology and Engineering
Introduction: Flights of general aviation aircraft in icing conditions pose safety hazards especially since few airplanes are equipped with ice protection systems (FIKI). Herein, we sought to answer the following questions not previously addressed: (i) Has the general aviation icing-related accident rate declined over time? (ii) Which phase(s) of flight lead(s) to the highest fraction of fatal accidents? (iii) Do general aviation pilots adhere to safe practices when operating in forecasted icing?
Methods: Retrospectively, icing-related accidents were per the National Transportation Safety Board database. Prospectively, non-FIKI single-engine airplanes, operating in forecasted icing, were tracked (January–March 2023) using FlightAwareR. Presumptive icing …
Integration Of Advanced Qualification Program Into Aviation Education, Jorge L. D. Albelo, Victor Fraticelli Rivera, Robert L. Thomas
Integration Of Advanced Qualification Program Into Aviation Education, Jorge L. D. Albelo, Victor Fraticelli Rivera, Robert L. Thomas
Journal of Aviation Technology and Engineering
The Federal Aviation Administration places aviation safety as a top priority, continuously striving to improve safety standards within the National Airspace System. In 2004, the Federal Aviation Administration introduced the Advanced Qualification Program (AQP) as an alternative methodology for pilot training and evaluation. This study explores the impact of AQP-centered aviation education on student performance, particularly in the context of learning advanced jet transport systems. The AQP model, based on aligning training with operational aviation requirements, emphasizes cognitive skill training and evaluation. Theoretical foundations underpinning this study include Karp’s integrated aviation learning model, which seamlessly integrates various instructional approaches, fostering …
Impact Of Weather Factors On Airport Arrival Rates: Application Of Machine Learning In Air Transportation, Robert W. Maxson, Dothang Truong, Woojin Choi
Impact Of Weather Factors On Airport Arrival Rates: Application Of Machine Learning In Air Transportation, Robert W. Maxson, Dothang Truong, Woojin Choi
Journal of Aviation Technology and Engineering
Weather is responsible for approximately 70% of air transportation delays in the National Airspace System, and delays resulting from convective weather alone cost airlines and passengers millions of dollars each year due to delays that could be avoided. This research sought to establish relationships between environmental variables and airport efficiency estimates by data mining archived weather and airport performance data at ten geographically and climatologically different airports. Several meaningful relationships were discovered from six out of ten airports using various machine learning methods within an overarching data mining protocol, and the developed models were tested using historical data.